Move from uncontrolled AI experimentation to governed AI adoption
AI GOVERNANCE ADOPTION AND IMPLEMENTATION
AI use is already spreading through organisations. Some people are becoming highly capable, but the tools, data and working methods involved are not always visible, consistent or governed.That creates a simple problem: capability can move faster than control.The Practice Labs establishes where you stand, identifies what needs attention, and determines whether there is a real AI workflow ready to move forward.
AI Governance Review. £8,950 + VAT.
Fixed fee. Completed within ten working days.
An independent, evidence-led review of your organisation’s AI capability and control. We establish your AI Readiness Level, identify the few issues that matter, and determine whether a workflow has earned Launch Candidate status.
AI adoption is moving. Is it creating measurable value?
The challenge
AI is already being used across many organisations.Some of that use will be approved. Some may not be.Governance matters, but control alone is not the objective. The bigger question is whether AI is improving real work in ways the organisation can see, measure, and safely repeat. That means understanding where AI is being used, which workflows are worth improving, what prevents wider adoption, and where the organisation should concentrate next.
Visibility
Know what is actually happening. Know where AI is used and for what
Consistency
Turn useful personal habits into repeatable practice. Identify where individual success can become a better organisational workflow.
Control
Create the conditions for responsible adoption. Establish the boundaries, responsibilities, and safeguards needed to use AI confidently.
Evidence
Know whether anything actually improved. Measure the operational result rather than relying on projected benefits or anecdotal success.
Capability without control creates exposure. Control without capability constrains value. Neither tells you what the organisation is actually ready to do.That requires evidence.
Readiness is not the destination. It tells us what you are ready to do next
AI readiness
We assess two things separately:
How effectively your organisation can use AI, and how reliably it can govern that use
Capability
The skills, workflows, and tools that turn AI into useful, repeatable work
Control
The accountability, data boundaries, approved tools, and oversight that keep that work governed.We examine both across four dimensions.
People: Do people understand the tools, their responsibilities, and how to use AI effectively.
Process: Is AI being incorporated into defined workflows, or is adoption still largely individual and experimental?
Data: Does the organisation understand what information is entering AI systems, what can be shared, and where controls are required?
Technology: Are the right tools available, appropriately configured, and capable of supporting the organisation's intended use?
Inspired by NASA’s Technology Readiness Levels. Not affiliated with or certified by NASA.
Your AI Readiness LevelWe assess Capability and Control separately across People, Process, Data and Technology.Your overall AI Readiness Level, or ARL, is constrained by the weaker axis. Capability at Level 4 and Control at Level 2 therefore produces an evidenced ARL of 2.We show the gap and the evidence behind it, so management can see where capability and control are aligned, where they are not, and what needs attention.ARL tells you whether the organisation is ready. The next question is what it is ready to do.
A clear position. Evidence behind it. Decisions you can act on.
AI Governance review
The AI Governance Review is a focused, independent assessment of how AI is being used, governed and evidenced across your organisation.
We combine structured assessment, stakeholder input and evidence of current practice to assess Capability and Control across People, Process, Data and Technology.The Review establishes your evidenced AI Readiness Level, identifies where capability and control have become misaligned, isolates the small number of issues that genuinely require management attention, and determines what should happen next.It also answers a deliberately practical question:Is there a real workflow ready to move forward?Where the evidence supports it, that workflow becomes your Launch Candidate.
What you receive
£8,950 + VAT
Fixed fee · Completed within ten working days
The Review stands alone. You can act on everything internally. There is no requirement to buy technology or engage The Practice Labs further.
Not every opportunity is ready to launch
The launch candidate
Organisations rarely suffer from a shortage of AI ideas. The harder question is which one has earned the right to move forward. A Launch Candidate is a specific workflow for which there is sufficient evidence of three things:
A promising workflow that cannot yet pass those tests remains an opportunity.Launch Candidate is a status that has to be earned.And sometimes the right conclusion from an AI Governance Review is:No Launch Candidate yet.That is not a failed Review. It means the evidence has identified precisely what needs to change before the organisation should proceed.
ARL tells you whether you are ready.
Launch Candidate tells you what you are ready to do.
From readiness to controlled implementation
The practice labs method
The Practice Labs Method is a practical framework for moving from AI ambition to measured implementation. It connects evidence, readiness and workflow selection to controlled implementation and measurable results.
Intro
Our method moves from evidence to decision, and from decision to controlled implementation.
Not every client needs every stage.
Stage 1 - AI Governance Review
Where are we now?Establish the evidence. Assess Capability and Control. Determine the AI Readiness Level. Identify the material gaps and management decisions.Then answer the Launch Candidate question.Output: ARL, evidence position, three to five material gaps, management decisions, 90-day direction and Launch Candidate where warranted.
stage 2 - AI Readiness Roadmap
**Where should we go next?Connect business priorities to workflows, controls and delivery constraints. Make Start / Stop / Continue / Edit decisions and structure the Launch Candidate for implementation.Output: prioritised portfolio, sequenced roadmap and Launch Candidate implementation path.
Stage 3 - Implementation + Reassessment
How do we make progress stick?Put the Launch Candidate into controlled use. Establish the baseline, implement the necessary controls, support adoption and measure what actually changes.Then reassess.Output: implemented changes, evidence of performance, updated ARL and the next management decisions.
Assess. Decide. Implement. Measure
The objective is not AI transformation for its own sake. It is to identify work worth improving and create evidence that the improvement is real.
Built for organisations where AI meets valuable or sensitive work
Where we work
We started with professional services for a reason.Law firms, accountancy firms and other advisory businesses combine knowledge-intensive work, valuable information, professional obligations and significant opportunities for AI-enabled productivity.They are also environments where capability can move faster than organisational control.
Our primary focus is UK professional services, particularly law. But the underlying problem is broader: any organisation introducing AI into valuable or sensitive workflows eventually has to answer the same questions:
Where can AI materially improve the way we work?
What is already happening that management cannot see?
Which workflows are worth changing?
What information and systems are involved?
What controls are genuinely necessary?
How will we know whether the change worked?
We connect those questions across people, process, data, and technology.
Our focus is practical: find valuable work, understand the constraints, establish the controls, and create evidence through implementation.
Find out where you stand
Start here
Our free AI Governance Check gives you an initial indication of the relationship between AI Capability and Control in your organisation.Eight questions. Around two minutes.You receive an indicative readiness position and an explanation of what it means.The Check reflects your answers. It is not an organisational assessment.The AI Governance Review goes further. It tests the position against stakeholders and evidence, establishes an organisational ARL and determines what should happen next.
Need an evidenced organisational position? Start an AI Governance Review.
Three perspectives. One evidence-led view
Who is behind it
AI adoption is rarely just a technology problem or a governance problem.The Practice Labs brings together experience across AI and technology, governance and control, organisational enablement, and the practical realities of running professional firms.That lets us examine the same problem from the perspectives of the people trying to adopt AI, those responsible for controlling it, and the leadership team accountable for making it work.
Rob Westmacott
Founder AI, technology & GovernanceRob works at the intersection of AI adoption, data governance and technology in regulated environments. He is a certified AI Governance Practitioner under LOCS:23 and brings the AI, technology, data and commercial challenge lens to Practice Labs engagements.Steve Brett
Founder Compliance, enablement & operational adoptionSteve brings enterprise training, enablement, commercial delivery and operational experience across engineering, finance and telecoms, with a focus on turning governance requirements into working organisational practice.Natalie Foster
Founder Delivery PartnerNatalie is the founder of Legally Fond and a former law firm CEO. She spent more than 20 years running businesses in regulated finance, legal and professional services, so she speaks about AI, technology and governance from experience rather than theory. Today she is a sought-after keynote speaker and advisor, helping leaders interpret evolving guidance, anticipate what's coming, and future-proof their firms through responsible innovation.
"Rob and Steve have totally changed the way I think about AI in business. I have come to learn that transformation happens when AI stops being a personal tool and starts becoming your company's operating system."
CEO, regional UK law firm
"Would 100% recommend. The value offered here dwarfs the fee."
Mark Rothwell-Brooks, CEO, VerityX**
Practical questions.
The Practice Labs is a UK AI governance and implementation consultancy helping law firms and other professional services organisations assess AI readiness, govern AI adoption and move suitable workflows into controlled implementation.
What is the AI governance review
The AI Governance Review is a fixed-fee, evidence-led assessment of your organisation’s AI Capability and Control. We examine People, Process, Data and Technology, establish your evidenced AI Readiness Level, identify the material gaps and management decisions, and determine whether a workflow has earned Launch Candidate status.
What does the £8,950 fee cover
The £8,950 + VAT fixed fee covers the complete AI Governance Review: pre-assessment, evidence review, stakeholder engagement, Capability and Control assessment, your evidenced AI Readiness Level, material gap analysis, management decision pack, 90-day direction and management read-out.Where the evidence supports it, the Review also identifies your Launch Candidate.There are no additional consulting charges for completing the agreed Review.
What happens after the review?
The Review stands alone. You may have enough evidence to act internally and need nothing further from us. Where additional work is justified, the next stage is an AI Readiness Roadmap. This prioritises opportunities, resolves constraints and structures the Launch Candidate for controlled implementation.Where implementation follows, we help put the workflow into practice, establish the necessary controls and measures, and reassess the organisation’s readiness based on what has actually happened.
What is the launch candidate?
A Launch Candidate is a specific workflow that has sufficient evidence of value, feasibility and governability to justify moving towards controlled implementation. It is not simply the most interesting AI idea or the workflow with the largest theoretical return.Launch Candidate is a status that has to be earned.
Can we buy the review online?
Yes. The Review is a fixed-fee engagement and can be started and paid for securely online. We ask a small number of questions first to confirm that the Review is appropriate for your organisation. Once payment is complete, onboarding begins and we agree the Review timetable.
Is the free check an organisational assessment?
No. It reflects one person’s answers and provides an indicative position. Establishing an organisational AI Readiness Level requires stakeholder input and evidence.
What if we already know which workflow we want to implement?
That is useful input, but it does not automatically make the workflow a Launch Candidate.We can test the proposed workflow against value, feasibility and governability and determine whether it is ready for controlled implementation or what needs to change first.
You don't need to transform everything at once.
Start somewhere useful
Start with one workflow worth improving.1. Establish where you stand.
2. Understand where Capability and Control are out of balance.
3. Decide what genuinely needs management attention.
4. Determine whether there is a workflow ready to move forward.
5. And, where the evidence supports it, give that workflow a name:
Your Launch Candidate.**The AI Governance Review gives you an evidenced position and a practical direction in ten working days.£8,950 + VAT. Fixed fee. No requirement to engage us further.
Practical AI governance adoption and implementation
Assessment | Decide | Launch | Measure |
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